---
dataset_info:
  features:
  - name: input_ids
    sequence: int64
  - name: bbox
    dtype:
      array2_d:
        shape:
        - 512
        - 4
        dtype: int64
  - name: attention_mask
    sequence: int64
  - name: image
    dtype:
      array3_d:
        shape:
        - 3
        - 224
        - 224
        dtype: int64
  - name: start_positions
    dtype: int64
  - name: end_positions
    dtype: int64
  - name: questions
    dtype: string
  - name: answers
    dtype: string
  splits:
  - name: train
    num_bytes: 198175471439
    num_examples: 160645
  - name: validation
    num_bytes: 20009392368
    num_examples: 16220
  download_size: 826530358
  dataset_size: 218184863807
language:
- cs
tags:
- finance
pretty_name: C
license: mit
---
# CIVQA TesseractOCR LayoutLM Dataset

The Czech Invoice Visual Question Answering dataset was created with Tesseract OCR and encoded for the LayoutLM. 
The pre-encoded dataset can be found on this link: https://huggingface.co/datasets/fimu-docproc-research/CIVQA-TesseractOCR

All invoices used in this dataset were obtained from public sources. Over these invoices, we were focusing on 15 different entities, which are crucial for processing the invoices.
- Invoice number
- Variable symbol
- Specific symbol
- Constant symbol
- Bank code
- Account number
- ICO
- Total amount
- Invoice date
- Due date
- Name of supplier
- IBAN
- DIC
- QR code
- Supplier's address

The invoices included in this dataset were gathered from the internet. We understand that privacy is of utmost importance. Therefore, we sincerely apologise for any inconvenience caused by including your identifiable information in this dataset. If you have identified your data in this dataset and wish to have it removed from research purposes, we request you kindly to access the following URL: https://forms.gle/tUVJKoB22oeTncUD6

We profoundly appreciate your cooperation and understanding in this matter.